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Xingjun Wang

Researcher at Shandong Normal University

Publications -  88
Citations -  2835

Xingjun Wang is an academic researcher from Shandong Normal University. The author has contributed to research in topics: Gene & Arachis. The author has an hindex of 24, co-authored 74 publications receiving 2028 citations. Previous affiliations of Xingjun Wang include Shandong University.

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The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut.

TL;DR: The genome sequences of its diploid ancestors are reported to show that these genomes are similar to cultivated peanut's A and B subgenomes and used to identify candidate disease resistance genes, to guide tetraploid transcript assemblies and to detect genetic exchange between cultivated peanuts' subgenome.
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The genome of cultivated peanut provides insight into legume karyotypes, polyploid evolution and crop domestication

Weijian Zhuang, +86 more
- 01 May 2019 - 
TL;DR: High-quality genome sequence of cultivated peanut provides insights into genome evolution and the genetic mechanisms underlying seed size and leaf resistance in peanut, providing a cornerstone for functional genomics and peanut improvement.
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Deep sequencing identifies novel and conserved microRNAs in peanuts (Arachis hypogaea L.)

TL;DR: Results show that regulatory miRNAs exist in agronomically important peanuts and may play an important role in peanut growth, development, and response to environmental stress.
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Global Analysis of WRKY Genes and Their Response to Dehydration and Salt Stress in Soybean

TL;DR: The cis-acting elements analysis suggested that GmWRKY genes were transcriptionally regulated upon dehydration and salt stress, and RNA-seq data analysis indicated that three Gm WRKY genes responded negatively to dehydration, and 12 genes positively responded to salt stress at 1, 6 and 12 h, respectively.
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High-density genetic map using whole-genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut.

TL;DR: WGRS of mapping populations has facilitated development of high‐density genetic maps essential for fine mapping and candidate gene discovery for traits of interest in crop species and KASP markers were developed for major QTLs and validated in the population and are ready for further deployment in genomics‐assisted breeding in peanut.